In this section, we describe how MimicBot is trained.
With a randomly initialized policy, the chance of performing meaningful actions is almost nonexistent.
To address this issue, a curriculum learning approach based on PPCG [1]} was applied to FFAI, but achieved only limited performance against a randomly playing agent.
In this work, we do not employ a curriculum learning strategy but we present an approach based on imitation learning, and more specifically on behavioural cloning, which is described in Section REF .
